Senior Solutions Architect, Financial Services – Capital Markets

NVIDIA

NVIDIA Solutions Architect for Financial Services Capital Markets team optimizing AI workloads and collaborating with engineers on finance industry applications. Engaging the finance sector with full-stack accelerated computing solutions.

Posted 6/12/2026full-timeRemote • New York • 🇺🇸 United StatesSenior💰 $184,000 - $287,500 per yearWebsite

Tech Stack

Tools & technologies

CloudPythonPyTorchSparkTensorflow

About the role

Key responsibilities & impact

Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins at customers.
Enable development and growth of NVIDIA product features through customer feedback and proof-of-concept evaluations.
Perform proof-of-concepts working side by side with clients, engineers, and other architects on in-depth analysis, profiling and optimization of machine learning/deep learning models to ensure the best performance on current- and next-generation GPU architectures.
Work directly with client ML researchers and developers/engineers on business-impacting workflows, projects, and issues to drive success using NVIDIA technology.
Facilitate rapid resolution of customer issues and promote the highest levels of customer satisfaction.
Build collateral (notebooks/ blogs) applied to Finance industry use-cases such as ML/DL, recommender systems, GNN, monte-carlo simulations, Quantitative Finance, etc. by working closely with customers.

Requirements

What you’ll need

BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields (or equivalent experience)
8+ years experience as an ML/Software Engineer with a proven track record in writing code in Python, C++
Experience with ML/DL algorithms with frameworks such as PyTorch, Spark, Dask, Jax, TensorFlow
Ability to communicate ideas and share code clearly through blog posts, GitHub
Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales, and marketing teams)
Effective verbal/written communication and technical presentation skills
Self-starter with a passion for growth, a real enthusiasm for continuous learning, and sharing findings across the team
Skilled in deploying ML/DL models at scale on public cloud computing and/or on-prem HPC clusters in production

Benefits

Comp & perks

Equity
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Hard Skills & Tools

PythonC++ML algorithmsDL algorithmsPyTorchSparkDaskJaxTensorFlowdeploying ML/DL models

Soft Skills

effective communicationtechnical presentationself-starterpassion for growthenthusiasm for continuous learningcollaborationproblem-solvingcustomer satisfactionanalytical skillsteamwork

Certifications

BS in Computer ScienceMS in Computer SciencePhD in Computer ScienceElectrical EngineeringComputer EngineeringPhysicsMathematics